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1st Workshop on Conformal Prediction and its Applications (CΟPA 2012) to be held in conjunction with the 8th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI 2012)
Halkidiki, Greece, September 27-30, 2012
http://delab.csd.auth.gr/aiai2012/===========================

Workshop Theme:
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Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications.

The workshop welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field.

Submission
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Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. Papers should be submitted either in a doc or in a pdf form to: [email protected]

Publication
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Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the
Conference.

Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare.

The subject areas of the workshop include, but are not limited to, the following:

Submission
==========
Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. Papers should be submitted either in a doc or in a pdf form to: [email protected]

Publication
===========
Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference.

Applications are invited for research positions (Special Scientist) in the Xi-Computer Architecture Group of the Department of Computer Science at the University of Cyprus (UCY) (www.cs.ucy.ac.cy/carch/xi/). The successful applicant will join the EU Framework 7 project Eurocloud (http://www.eurocloudserver.com/).

Eurocloud is a 3-year (Jan 2010 – Dec 2012) STREP project that aims to deliver a next generation energy-conscious 3D Server-on-Chip for Green Cloud Services. The project is lead by ARM and the consortium includes Nokia, IMEC, EPFL and UCY. University of Cyprus is leading the Reliability and Fault Tolerance work-package and is contributing to the other work-packages: Physical Prototype, Workload Characterization, 3D Architecture Design and Power Management, and On-chip Hierarchies and Interconnect.

We are seeking one motivated researcher with BSc in Computer Science, Computer Engineering or Electrical Engineering. Graduate degree will be considered an advantage. Applicants should have extensive knowledge in one of the following areas: Computer Architecture and Fault Tolerance. Previous related research experience will be considered an advantage. The post can be combined with graduate study at UCY.

The posts are until the end of the 2012 (extension possibility can be discussed). The salary will depend on qualifications.

in electronic format (PDF) by email with subject “EUROCLOUD Special Scientist @ UCY” to [email protected] Applications will be evaluated on a rolling basis starting March 12th until the positions are filled.

Please note that the positions are open to highly motivated 3rd and 4th year CS undergraduate students with exceptional academic record.